Air quality modelling by decision trees in the Czech Republic locality

Authors:
Kašparová Miloslava;Křupka Jiří
Affiliations:
Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic
Venue:
AIC'08 Proceedings of the 8th conference on Applied informatics and communications
Year:
2008

Citing 6
Cited 1

Artificial intelligence: a modern approach

Artificial intelligence: a modern approach
Decision Support Systems and Intelligent Systems

Decision Support Systems and Intelligent Systems
Business Modeling and Data Mining

Business Modeling and Data Mining
Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications (Machine Perception and Artificial Intelligence)

Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications (Machine Perception and Artificial Intelligence)
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Application of rough sets theory in air quality assessment

RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with air quality modelling by decision trees in the Czech Republic locality. We focused on daily observations of air polluting substances concentrations in one of the cities in the Pardubice region. After data collection, data description, and data preprocessing, we worked on the creation of classification models and the analysis of the achieved results. As modelling algorithms we selected C5.0 algorithm, boosting, and CHAID method.